Skip to main content
Glama
shuji-bonji

@shuji-bonji/pdf-spec-mcp

by shuji-bonji

Related Servers

Alternatives to @shuji-bonji/pdf-spec-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that reads PDFs and exposes them as structured Markdown, metadata, outlines, images, and tables to LLM consumers via tools like pdf_read_markdown and pdf_info.
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.
      5
      77
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      A local MCP server that extracts text-layer content from PDF files, enabling AI agents to inspect, extract text, outlines, and page content.
      -
    • A
      license
      A
      quality
      C
      maintenance
      A Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.
      7
      19 npm
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
      10
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      An MCP server that enables AI assistants to read, search, and analyze PDF files from local paths or URLs. It provides tools for extracting specific page ranges, searching for terms, and retrieving document metadata.
      4
      20 npm
      1
      MIT

    TDQS

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of the PDF specification: version comparison, definitions, requirements, sections, structure, tables, listing specs, and searching. No overlap in purpose.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_section, search_spec). There is no mixing of conventions.

    Tool Count5/5

    With 8 tools, the set is well-scoped for exploring and comparing PDF specifications. Each tool serves a clear function without being excessive or insufficient.

    Completeness5/5

    The tool surface covers common operations for a reference document: listing, searching, retrieving structure, content, tables, definitions, requirements, and version comparison. No obvious gaps for its read-only domain.

    Maintenance

    ActivityActive
    ResponsivenessSlow